Results 211 to 220 of about 491,133 (314)

Machine Learning‐Based Optimization of Pixel Light Intensities for Improving Polymerization Accuracy in Digital Light Processing 3D Printing

Advanced Materials Technologies, EarlyView.
A machine learning platform is developed to optimize sliced images for digital light processing 3D printing by locally tuning light intensity for higher precision printing. A reduced‐order model accurately predicts the degree of conversion in 3D space to calculate resulting shapes.
Teerapong Poltue, Stuart Macrae Montgomery, Xiaohao Sun, Chao Zhang, Frédéric Demoly, Kun Zhou, H. Jerry Qi   +6 more
wiley   +1 more source

Gaze cluster analysis reveals heterogeneity in attention allocation and predicts learning outcomes. [PDF]

Sci Rep
John N, Korinth SP, Kunter M, Baier-Mosch F.   +3 more
europepmc   +1 more source

A Multi‐Resonant Tunable Fabry‐Pérot Cavity for High Throughput Spectral Imaging

Advanced Optical Materials, Volume 13, Issue 8, March 13, 2025.
This study introduces a multi‐resonant tunable Fabry‐Pérot filter for high throughput spectral imaging. With a spectral resolution of 10 nm and a switching time of 23 ms, this compact and low‐cost device possesses better spectral imaging accuracy in poor light conditions while maintaining over six times higher optical throughput than standard liquid ...
Xiao Wu, Zijian Lin, Shige Tang, Xiao Chen, Tingbiao Guo, Sailing He   +5 more
wiley   +1 more source

Dengue and diabetes comorbidity: an emerging public health threat. [PDF]

Int Health
Bisanzio D, Estofolete CF, Reithinger R.
europepmc   +1 more source

Revealing the True Nature of Double‐Peak Emission in 2D Perovskite Single Crystals Using Polariton Waveguides

Advanced Optical Materials, EarlyView.
Engineering structural distortion in Dion–Jacobson perovskites allows control over optical properties and electronic band structure, unveiling new structure‐property insights. Crystal microwires act as waveguides with strong light‐matter coupling, explaining the double peak emission.
Annalisa Coriolano, Anna Moliterni, Francesco Todisco, Laura Polimeno, Rosanna Mastria, Vincent Olieric, Carlotta Giacobbe, Milena De Giorgi, Dario Ballarini, Aurora Rizzo, Giuseppe Gigli, Cinzia Giannini, Ilenia Viola, Daniele Sanvitto, Luisa De Marco   +14 more
wiley   +1 more source

Tobacco imagery in prime-time television in Spain: A content analysis. [PDF]

Tob Induc Dis
Peruga A, Tigova O, Feliu A, Carnicer-Pont D, Anton L, Bosch F, Rey-Pino JM, Salto E, Fernández E, Martínez C.   +9 more
europepmc   +1 more source

Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics

Advanced Robotics Research, EarlyView.
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang, Zhipeng Jiang, Sun Hwa Kwon, Matthew Ibrahim, Alexander Dang, Lin Dong   +5 more
wiley   +1 more source

OT-Mation: an open-source code for parsing CSV files into Python scripts for control of OT-2 liquid-handling robotics. [PDF]

Synth Biol (Oxf)
Laverick A, Convey K, Harrison C, Tomlinson J, Stach J, Howard TP.   +5 more
europepmc   +2 more sources

PhyloJunction: A Computational Framework for Simulating, Developing, and Teaching Evolutionary Models. [PDF]

Syst Biol
Mendes FK, Landis MJ.
europepmc   +1 more source

Liquid Metal Sensors for Soft Robots

Advanced Robotics Research, EarlyView.
This review thoroughly reviews liquid metal sensors in soft robots. Their unique material properties like high conductivity and good biocompatibility are analyzed. Working principles are classified, and applications in environmental perception, motion detection, and human—robot interaction are introduced.
Qi Zhang, Nan Li, Yujia Song, Chen Hua, Tangzhen Guan, Yibing Ma, Cai Cheng, Jing Liu   +7 more
wiley   +1 more source